CYHCFeb 10, 2017

Crowdsourcing the Policy Cycle

arXiv:1702.04215v17 citations
Originality Synthesis-oriented
AI Analysis

It provides a framework for policymakers to better utilize crowdsourcing, though it appears incremental as it builds on existing concepts without introducing new methods.

This paper addresses the research gap in applying crowdsourcing to different stages of the policy cycle, aiming to bring increased nuance to its use in policymaking.

Crowdsourcing is beginning to be used for policymaking. The wisdom of crowds [Surowiecki 2005], and crowdsourcing [Brabham 2008], are seen as new avenues that can shape all kinds of policy, from transportation policy [Nash 2009] to urban planning [Seltzer and Mahmoudi 2013], to climate policy. In general, many have high expectations for positive outcomes with crowdsourcing, and based on both anecdotal and empirical evidence, some of these expectations seem justified [Majchrzak and Malhotra 2013]. Yet, to our knowledge, research has yet to emerge that unpacks the different forms of crowdsourcing in light of each stage of the well-established policy cycle. This work addresses this research gap, and in doing so brings increased nuance to the application of crowdsourcing techniques for policymaking.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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